ESaaS - SFDC - MCAE/Data Cloud Developer

MCAE/Data Cloud Developer

Location:

About the Role:

Key Responsibilities:

• Solution Implementation:

  
  
  
  
  • Develop, configure, and customize solutions within

    Marketing Cloud Account Engagement (MCAE)

    , including complex engagement studio programs, scoring models, dynamic lists, and form handlers.
  
  
  • Hands-on development and administration within

    Salesforce Data Cloud

    , including data ingestion, mapping, transformation, and the creation of unified customer profiles and data model extensions.
  
  
  • Build and deploy personalized web experiences using

    Marketing Cloud Personalization

    (Interaction Studio) based on architect-defined strategies.
  
  



• Integration & Data Flow Development:

  
  
  
  
  • Develop and maintain integrations between MCAE, Data Cloud, Sales Cloud, and other systems (e.g., GA4, Demandbase) using APIs (REST/SOAP), connectors, and custom integration patterns.
  
  
  • Implement and manage the

    web data layer

    and

    server-side tag management (sGTM)

    setups to ensure accurate data collection and flow into Data Cloud and other systems.
  
  
  • Write and optimize SQL-like queries (SOQL, SAQL) within Data Cloud for data segmentation and insight generation.
  
  



• Automation & AI Enablement:

  
  
  
  
  • Implement automated lead nurturing and scoring programs within MCAE, leveraging data from Data Cloud for advanced segmentation.
  
  
  • Assist in the operational setup and configuration of

    Einstein AI

    features, such as Einstein Lead Scoring and predictive audiences, ensuring they are fueled by clean, unified data from Data Cloud.
  
  
  • Build and test automated journey triggers based on customer data platform insights.
  
  



• Data Quality & Governance Support:

  
  
  
  
  • Execute data cleansing, deduplication, and archival tasks in both MCAE and Salesforce CRM under the guidance of the architect.
  
  
  • Implement and enforce data governance rules and consent management settings within the marketing cloud platforms.
  
  
  • Develop and maintain technical documentation for configurations, integrations, and processes.
  
  



• Testing & Optimization:

  
  
  
  
  • Conduct thorough unit testing, integration testing, and support UAT for all developed components.
  
  
  • Monitor data health and platform performance, troubleshooting and resolving issues related to data syncs, integration errors, and automation failures.
  
  
  • Continuously optimize programs and data flows for performance and efficiency.
  
  

Required Qualifications & Experience:

• 4+ years of hands-on experience as a Salesforce Marketing Cloud Developer or Administrator, with a strong focus on

  Marketing Cloud Account Engagement (MCAE, formerly Pardot)

  .



• Must-have recent, hands-on experience with Salesforce Data Cloud

  (formerly Customer Data Platform). This includes demonstrated experience with:
  
  
  
  • Ingesting and unifying data from multiple sources (e.g., MCAE, CRM, web data).
  
  
  • Creating and managing data streams, data model objects, and unified profiles.
  
  
  • Segmenting audiences using Data Clouds query tools.
  
  


• Proven experience building

  integrations

  between MCAE, Salesforce CRM, and external systems using APIs and middleware.


• Strong understanding of Salesforce CRM data model and proficiency in writing SOQL queries.


• Experience with HTML, CSS, and JavaScript for crafting personalized email and web experiences.


• Familiarity with marketing technology concepts such as lead lifecycle, attribution, and lead scoring.


• Excellent problem-solving skills and attention to detail.

Preferred Qualifications:

• Salesforce certifications such as:
  
  
  

  • Salesforce Data Cloud Consultant

    / Accredited Professional
  
  

  • Marketing Cloud Account Engagement Specialist

    / Consultant
  
  
  • Salesforce Administrator (ADM 201)
  
  


• Experience with

  Marketing Cloud Personalization

  (Interaction Studio).


• Familiarity with web analytics tools (GA4) and tag management systems (Google Tag Manager, especially sGTM).


• Experience with B2B marketing and Account-Based Marketing (ABM) strategies and tools (e.g., Demandbase).


• Knowledge of Agile/Scrum development methodologies.